Biomass and Crop Height Estimation of Different Crops Using UAV-Based Lidar

Review: New sensors and data-driven approaches—A path to next generation phenomics

(2019) Thomas Roitsch et al.   PLANT SCIENCE

Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data

(2019) Liang Han et al.   Plant Methods

Modelling the effects of fundamental UAV flight parameters on LiDAR point clouds to facilitate objectives-based planning

(2019) Jeremy J. Sofonia et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Winter Wheat Canopy Height Extraction from UAV-Based Point Cloud Data with a Moving Cuboid Filter

(2019) Yang Song et al.   Remote Sensing

Image-based dynamic quantification and high-accuracy 3D evaluation of canopy structure of plant populations

(2018) Fang Hui et al.   ANNALS OF BOTANY

A Novel LiDAR-Based Instrument for High-Throughput, 3D Measurement of Morphological Traits in Maize and Sorghum

(2018) Suresh Thapa et al.   SENSORS

Changes in soil stress during repeated wheeling: A comparison of measured and simulated values

(2018) Mojtaba Naderi-Boldaji et al.   Soil Research

High Throughput Determination of Plant Height, Ground Cover, and Above-Ground Biomass in Wheat with LiDAR

(2018) Jose A. Jimenez-Berni et al.   Frontiers in Plant Science

Sensors for measuring plant phenotyping: A review

(2018) Ruicheng Qiu et al.   International Journal of Agricultural and Biological Engineering

Estimating above ground biomass of winter wheat at early growth stages using digital images and deep convolutional neural network

(2018) Juncheng Ma et al.   EUROPEAN JOURNAL OF AGRONOMY

Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height and DBH with Terrestrial LiDAR

(2017) Benjamin Brede et al.   SENSORS

In-Field High-Throughput Phenotyping of Cotton Plant Height Using LiDAR

(2017) Shangpeng Sun et al.   Remote Sensing

Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives

(2017) Guijun Yang et al.   Frontiers in Plant Science

High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates

(2017) Simon Madec et al.   Frontiers in Plant Science

Effects of LiDAR point density, sampling size and height threshold on estimation accuracy of crop biophysical parameters

(2016) Shezhou Luo et al.   OPTICS EXPRESS

High Throughput Field Phenotyping of Wheat Plant Height and Growth Rate in Field Plot Trials Using UAV Based Remote Sensing

(2016) Fenner Holman et al.   Remote Sensing

Airborne LiDAR technique for estimating biomass components of maize: A case study in Zhangye City, Northwest China

(2015) Wang Li et al.   ECOLOGICAL INDICATORS

LiDAR based biomass and crop nitrogen estimates for rapid, non-destructive assessment of wheat nitrogen status

(2014) Jan U.H. Eitel et al.   FIELD CROPS RESEARCH

Dry matter and water dynamics of wheat grains in response to source reduction at different phases of grain filling

(2014) Claudia I Harcha et al.   Chilean Journal of Agricultural Research

Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging

(2014) Juliane Bendig et al.   Remote Sensing

Modeling approaches to estimate effective leaf area index from aerial discrete-return LIDAR

(2009) Jeffrey J. Richardson et al.   AGRICULTURAL AND FOREST METEOROLOGY